difference between simple, multiple and partial correlation
Answers
Answered by
11
The distinction between simple, partial and multiple correlation is based upon the number of variables studied. When only two variables are studied it is a problem of simple correlation. When three or more variables are studied it is a problem of either multiple or partial correlation. In multiple correlation three or more variables are studied simultaneously. For example, when one studies the relationship between the yield of rice per acre and both the amount of rainfall and the amount of fertilizers used, it is a problem of multiple correlation. On the other hand, in partial correlation we recognize more than two variables, but consider only two variables to be influencing each other, the effect of other influencing variables being kept constant. For example, in the price problem taken above if we limit our correlation analysis of yield and rainfall to periods when a certain average daily temperature existed, it becomes a problem relating to partial correlation only.
Answered by
1
Correlation is a factor that is divided into two categories such as simple and multiple correlation .
The act is used in an organization set up to see into the success of the company.
Multiple correlation involves very complex set up with several other sub groups attached to it.
On the other hand simple correlation is a set up that is very direct and have no complexities.
The goal is to save on time factor.
They can be both used in a set up to achieve the desired result.
Similar questions